Thoughts and practices on studies of membrane processes for Chinese materia medica based on data science
10.7501/j.issn.0253-2670.2020.01.001
- Author:
Wen-Wei ZHONG
1
Author Information
1. Guangzhou Institute of Advanced Technology, Chinese Academy of Sciences
- Publication Type:Journal Article
- Keywords:
Chinese materia medica;
Data science;
Green manufacturing;
Membrane processes;
Separation mechanism
- From:
Chinese Traditional and Herbal Drugs
2020;51(1):1-8
- CountryChina
- Language:Chinese
-
Abstract:
Data science is a form of data-oriented science, which serves as a set of theories, methodologies and technologies for data exploration and analysis. Considering that membrane separation process for Chinese materia medica (CMM) manufacturing is a non-linear system, the data obtained regarding its process can be either multivariate, non-linear, strong noise, non-normally distributed, or non-evenly distributed. Due to the special features of data science, research has shed lights on its application in the scientific exploration and technological innovation in the complex membrane processes based on CMM system. There are a few key aspects of data science that are worth mentioning, making it competent as an analytical tool for CMM manufacturing integrated membrane processes. They can be recognized as the following, such as (1) the ability to precisely describe the mass transfer properties of CMM integrated membrane processes; (2) the dynamic description of membrane mass transfer process by molecular simulation; (3) the application of computational fluid dynamics simulation in membrane technology, and (4) the powerful and advanced data processing technology. This paper also reviewed some real case studies encountered by the authors during the investigation of membrane technology for CMM manufacturing based on data science.
